def test_substract_without_numpy(self):
"""
Tests the substraction of two embeddings to calculate the distance without numpy.
"""
EMB.NUMPY_LOADED = False
FACEREC.NUMPY_AVAILABLE = False
emb1 = EMB.Embedding(
"[ 0.0158451 -0.10712819 0.03863023 -0.03482883 -0.0824572 0.14168985 -0.09636037 0.19106716 -0.02492222 0.14210707 -0.01116645 -0.02843223 0.11468598 0.05238573 -0.07595719 0.02790567 0.08421595 -0.02046278 0.11567297 -0.04182892 0.04587755 0.06748006 0.16458501 0.10763472 -0.129269 -0.06824924 0.04409041 0.02964318 -0.038321 -0.0219803 -0.18692227 0.1463057 -0.01780165 -0.04693119 0.14571658 -0.07666277 -0.00090835 0.10656494 0.05686795 -0.00907048 -0.02277039 -0.04237205 0.05263669 -0.0703985 -0.0910216 0.00665178 0.18419671 -0.16580425 0.10267366 0.031062 -0.06323228 0.01181003 0.10920595 -0.06083095 0.00112445 -0.05585416 -0.0517714 -0.01066756 -0.10822885 -0.02711556 -0.04817014 0.09187203 -0.0778175 0.01809014 0.06878112 0.01106403 0.22116356 0.11943804 0.01060378 0.1570053 0.01113725 0.18296902 0.14617686 0.09622544 0.03298299 0.01186595 -0.0497611 -0.02599285 -0.0180933 -0.04265066 0.01374123 -0.10514697 0.04546366 -0.01592954 0.02338098 0.04642355 0.04885073 -0.14540456 -0.03893084 -0.0271441 0.14776005 0.12446663 -0.19740807 0.00212946 0.10007296 0.14576022 0.00851103 0.14883877 -0.09683412 -0.153027 0.00841949 -0.02203198 -0.08422936 -0.08729295 0.02269308 0.03118366 0.03445914 -0.05186762 0.11506347 0.0202589 -0.05157725 0.05116833 -0.03643497 0.09496777 -0.13442048 -0.09157681 -0.03467375 -0.08306352 -0.0041221 -0.06054366 -0.11433879 -0.09384206 -0.04435525 0.08906819 0.1288448 -0.0818419 0.09191026 -0.0867103 ]"
)
emb2 = EMB.Embedding(
"[-0.04243816 0.02188188 0.08280295 0.03783304 -0.01933468 0.03775278 0.0931235 -0.02352021 0.06010089 0.00089534 -0.08144676 0.09437996 0.05528472 -0.08782918 0.02388905 -0.03227656 0.07940276 0.03790136 0.04989427 0.00074208 0.00774619 -0.01066396 0.03521054 -0.08510022 0.04805138 0.04995364 0.03496696 0.07999235 0.05855429 0.12293658 -0.06525446 0.0350027 -0.05571594 -0.11703292 -0.00822121 -0.10753039 0.04798333 0.03394997 0.01345209 -0.06920611 0.03951461 0.08906944 0.05040617 0.1595071 0.15870747 0.138016 -0.03988503 -0.16869368 -0.15910695 0.16755092 -0.08412354 0.06929413 -0.00696136 -0.01855957 -0.09980983 0.03130403 0.16348867 -0.02478264 0.01473257 -0.12003439 0.04467747 0.15205432 -0.05045622 -0.04657688 -0.10278953 0.05550895 -0.00257586 -0.07990343 -0.15728523 -0.15495953 -0.06836285 -0.02878328 0.11981599 -0.17039472 0.10333136 0.02417856 -0.12819001 -0.06802902 -0.00152423 -0.01483421 0.08994423 0.10568022 -0.08645283 -0.14509805 -0.02411678 -0.02262853 0.0802597 0.19059512 -0.03327667 0.09519654 -0.09965424 0.08643778 -0.02620865 -0.08090184 0.03863079 0.00783935 0.05062248 -0.13768932 -0.15904306 -0.06786504 0.09602615 0.01017415 -0.02701177 -0.20418924 0.0419284 -0.00059234 0.00649145 0.00732872 0.24222451 0.08798994 -0.06830025 -0.00691073 0.06116113 0.0321093 -0.06775422 -0.030848 -0.13546759 0.02979624 0.12392963 -0.0808115 0.03381168 -0.01160022 0.11621546 0.03767033 0.20028599 -0.108992 0.142269 0.01581674]"
)
self.assertEqual(emb1 - emb2, 1.3629939541954854)
def test_creation_from_list_without_numpy_available(self):
"""
Tests the creation of an embedding from a list of numbers without numpy available.
"""
EMB.NUMPY_LOADED = False
list = [2, 3, 4]
emb = EMB.Embedding(list)
self.assertEqual(emb.get_embedding_np(), str(list).replace(",", " "))
def test_creation_from_str_without_numpy_available(self):
"""
Tests the creation of an embedding from a string without numpy available.
"""
EMB.NUMPY_LOADED = False
np_str = "[2 3 4]"
emb = EMB.Embedding(np_str)
np_array = emb.get_embedding_np()
self.assertEqual(np_array, np_str)
def test_creation_from_numpy(self):
"""
Tests the creation of an embedding from a numpy array with numpy available.
"""
if NUMPY_AVAILABLE:
EMB.NUMPY_LOADED = True
np_array = np.asarray([2, 3, 4])
emb = EMB.Embedding(np_array)
self.assertTrue(np.array_equal(emb.get_embedding_np(), np_array))
else:
self.assertTrue(True)
def test_embedding_str(self):
"""
Tests that the embedding is convertible into string.
"""
emb1 = EMB.Embedding(
"[ 0.0158451 -0.10712819 0.03863023 -0.03482883 -0.0824572 0.14168985 -0.09636037 0.19106716 -0.02492222 0.14210707 -0.01116645 -0.02843223 0.11468598 0.05238573 -0.07595719 0.02790567 0.08421595 -0.02046278 0.11567297 -0.04182892 0.04587755 0.06748006 0.16458501 0.10763472 -0.129269 -0.06824924 0.04409041 0.02964318 -0.038321 -0.0219803 -0.18692227 0.1463057 -0.01780165 -0.04693119 0.14571658 -0.07666277 -0.00090835 0.10656494 0.05686795 -0.00907048 -0.02277039 -0.04237205 0.05263669 -0.0703985 -0.0910216 0.00665178 0.18419671 -0.16580425 0.10267366 0.031062 -0.06323228 0.01181003 0.10920595 -0.06083095 0.00112445 -0.05585416 -0.0517714 -0.01066756 -0.10822885 -0.02711556 -0.04817014 0.09187203 -0.0778175 0.01809014 0.06878112 0.01106403 0.22116356 0.11943804 0.01060378 0.1570053 0.01113725 0.18296902 0.14617686 0.09622544 0.03298299 0.01186595 -0.0497611 -0.02599285 -0.0180933 -0.04265066 0.01374123 -0.10514697 0.04546366 -0.01592954 0.02338098 0.04642355 0.04885073 -0.14540456 -0.03893084 -0.0271441 0.14776005 0.12446663 -0.19740807 0.00212946 0.10007296 0.14576022 0.00851103 0.14883877 -0.09683412 -0.153027 0.00841949 -0.02203198 -0.08422936 -0.08729295 0.02269308 0.03118366 0.03445914 -0.05186762 0.11506347 0.0202589 -0.05157725 0.05116833 -0.03643497 0.09496777 -0.13442048 -0.09157681 -0.03467375 -0.08306352 -0.0041221 -0.06054366 -0.11433879 -0.09384206 -0.04435525 0.08906819 0.1288448 -0.0818419 0.09191026 -0.0867103 ]"
)
self.assertEqual(
str(emb1),
"[ 0.0158451 -0.10712819 0.03863023 -0.03482883 -0.0824572 0.14168985 -0.09636037 0.19106716 -0.02492222 0.14210707 -0.01116645 -0.02843223 0.11468598 0.05238573 -0.07595719 0.02790567 0.08421595 -0.02046278 0.11567297 -0.04182892 0.04587755 0.06748006 0.16458501 0.10763472 -0.129269 -0.06824924 0.04409041 0.02964318 -0.038321 -0.0219803 -0.18692227 0.1463057 -0.01780165 -0.04693119 0.14571658 -0.07666277 -0.00090835 0.10656494 0.05686795 -0.00907048 -0.02277039 -0.04237205 0.05263669 -0.0703985 -0.0910216 0.00665178 0.18419671 -0.16580425 0.10267366 0.031062 -0.06323228 0.01181003 0.10920595 -0.06083095 0.00112445 -0.05585416 -0.0517714 -0.01066756 -0.10822885 -0.02711556 -0.04817014 0.09187203 -0.0778175 0.01809014 0.06878112 0.01106403 0.22116356 0.11943804 0.01060378 0.1570053 0.01113725 0.18296902 0.14617686 0.09622544 0.03298299 0.01186595 -0.0497611 -0.02599285 -0.0180933 -0.04265066 0.01374123 -0.10514697 0.04546366 -0.01592954 0.02338098 0.04642355 0.04885073 -0.14540456 -0.03893084 -0.0271441 0.14776005 0.12446663 -0.19740807 0.00212946 0.10007296 0.14576022 0.00851103 0.14883877 -0.09683412 -0.153027 0.00841949 -0.02203198 -0.08422936 -0.08729295 0.02269308 0.03118366 0.03445914 -0.05186762 0.11506347 0.0202589 -0.05157725 0.05116833 -0.03643497 0.09496777 -0.13442048 -0.09157681 -0.03467375 -0.08306352 -0.0041221 -0.06054366 -0.11433879 -0.09384206 -0.04435525 0.08906819 0.1288448 -0.0818419 0.09191026 -0.0867103 ]"
)
def test_creation_from_str_with_numpy_available(self):
"""
Tests the creation of an embedding from a string with numpy available.
"""
if NUMPY_AVAILABLE:
EMB.NUMPY_LOADED = True
np_str = "[2 3 4]"
emb = EMB.Embedding(np_str)
np_array = emb.get_embedding_np()
self.assertTrue(type(np_array) is np.ndarray)
else:
self.assertTrue(True)
def test_creation_from_list_with_numpy_available(self):
"""
Tests the creation of an embedding from a list of numbers with numpy available.
"""
if NUMPY_AVAILABLE:
EMB.NUMPY_LOADED = True
list = [2, 3, 4]
emb = EMB.Embedding(list)
self.assertTrue(
np.array_equal(emb.get_embedding_np(), np.asarray(list)))
else:
self.assertTrue(True)